Volume 59, Issue 328, April 2023

Modified novel family of log exponential estimators utilizing auxiliary attributes

Mojeed Abiodun Yunusa¹, Awwal Adejumobi^2♦, Ahmed Audu¹

¹Department of Statistics, Usmanu Danfodiyo University, Sokoto, Nigeria
²Department of Mathematics, Kebbi State University of Science and Technology, Aliero, Nigeria

^♦Corresponding author
Department of Mathematics, Kebbi State University of Science and Technology, Aliero Nigeria

ABSTRACT

In this paper, we implied a modified novel family of log-exponential ratio estimators for the estimation of the population mean of the variable of interest in the presence of auxiliary attribute. We acquire the biases and mean square errors (MSEs) of the suggested estimators as well as the efficiency conditions for which the proposed estimators are more efficient theoretically. Empirical study was conducted using two datasets and the results revealed that the proposed estimators are more efficient.

Keywords: Sampling, Coefficient of Variation, Bias, Mean Square Error, Auxiliary Attribute

Discovery, 2023, 59, e40d1041

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Published: April 2023